## Search

Now showing items 1-10 of 42

#### The ggplot2 Package for R

(Swinburne Commons, 2015)

This video demonstrates the ggplot2 graphics package for the R statistical software.

#### Programming Functions in R: Intro and Function Arguments

(Swinburne Commons, 2015)

This video demonstrates how to program functions and use function arguments in the R statistical software.

#### Programming Functions in R: If Statements

(Swinburne Commons, 2015)

This video demonstrates using if statements in programming functions in the R statistical software.

#### Getting Started with R: Using Functions

(Swinburne Commons, 2015)

This video looks at available functions in R, and how to go about running functions.

#### Getting Started with R: Command Prompt Basics

(Swinburne Commons, 2015)

This video looks at the basics of the R command prompt.

#### The qplot() Function from the ggplot2 Package in R

(Swinburne Commons, 2015)

This video demonstrates producing graphs using the qplot() function from the ggplot2 package in R. Video originally created for STA80006 Using R for Statistical Analysis.

#### Anatomy of a Shiny App

(Swinburne Commons, 2015)

This video examines a Shiny web application of an R cluster analysis. It looks at the user interface (ui.R) and server (server.R) code that was used to produce the application. Video originally created for STA80006 Using ...

#### Introduction to Web Applications with Shiny

(Swinburne Commons, 2015)

This video introduces the Shiny framework for R and shows how to run a Shiny application. Video originally created for STA80006 Using R for Statistical Analysis.

#### CodeCasts: Introduction to Programming in Pascal: Looping 3.3

(Swinburne Commons, 2015)

In this video, Andrew and Reuben demonstrate how you can implement looping in your programs to repeat instructions in your programs.

#### CodeCasts: Introduction to Programming in Pascal: OS X Install 0.3

(Swinburne Commons, 2015)

In this video, Andrew demonstrates how to setup all of the required tools needed to complete the course work for Introduction to Programming on a Mac running OS X.